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Internship R Statistical Programmer Jobs in Cary, NC

Senior Research Statistician

Raleigh, NC

$84K - $104K/yr

Develop, validate, document, and maintain statistical programming code and analytical tools using R, STATA, and/or other statistical packages. * Provide statistical expertise and methodological ...

Senior Research Statistician

Durham, NC · On-site

$84K - $103K/yr

Develop, validate, document, and maintain statistical programming code and analytical tools using R, STATA, and/or other statistical packages. * Provide statistical expertise and methodological ...

Senior Research Statistician

Raleigh, NC

$84K - $104K/yr

Develop, validate, document, and maintain statistical programming code and analytical tools using R, STATA, and/or other statistical packages. * Provide statistical expertise and methodological ...

Senior Research Statistician

Raleigh, NC · On-site

$84K - $104K/yr

Develop, validate, document, and maintain statistical programming code and analytical tools using R, STATA, and/or other statistical packages. * Provide statistical expertise and methodological ...

Senior Research Statistician

Raleigh, NC · On-site +1

$84K - $104K/yr

Develop, validate, document, and maintain statistical programming code and analytical tools using R, STATA, and/or other statistical packages. * Provide statistical expertise and methodological ...

Demonstrated proficiency in advanced statistical programming using SAS and/or R, macros, SQL * Prior pharmaceutical experience and advanced knowledge of observational research study design and ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written ...

Director of Biostatistics

Cary, NC · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written ...

Computer Programmer (51696)

Durham, NC · On-site

$100K - $150K/yr

Produce automated reports in R markdown using knitr and pandoc * Monitor, evaluate, test, report on ... Analyze and write statistical computer code * Collaborate with staff to develop, test, refine and ...

Showing results 21-40

Internship R Statistical Programmer information

See Cary, NC salary details

$78.3K

$136.5K

$230.7K

How much do internship r statistical programmer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for internship r statistical programmer in Cary, NC is $136,453.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,800.00 and $148,200.00 per year, depending on experience, location, and employer.

What does an internship R statistical programmer do?

An Internship R Statistical Programmer assists with data analysis, statistical modeling, and data visualization using the R programming language. Interns typically work under the supervision of experienced statisticians or data scientists, helping to clean and manage datasets, write scripts and code in R, and generate reports or graphics for research projects or business analyses. This role provides valuable hands-on experience in statistical programming and is often geared towards students or early-career professionals interested in data science or analytics.

What does a typical day look like for an internship R statistical programmer, and how do interns collaborate with other team members?

As an Internship R Statistical Programmer, your typical day involves writing and testing R scripts to process and analyze data, often under the guidance of experienced programmers or statisticians. You'll participate in team meetings, contribute to code reviews, and work closely with data scientists, biostatisticians, or clinical research teams depending on the industry. Collaboration is key, as you'll frequently discuss analysis plans, clarify data requirements, and troubleshoot code alongside others. This role provides hands-on experience with real-world datasets and fosters growth in both technical and communication skills.

What are the key skills and qualifications needed to thrive as an internship R statistical programmer, and why are they important?

To thrive as an Internship R Statistical Programmer, you need a solid background in statistics, programming with R, and data analysis, usually supported by coursework or a degree in statistics, mathematics, or a related field. Familiarity with RStudio, data visualization libraries (like ggplot2), and version control systems such as Git is typically expected. Attention to detail, problem-solving ability, and effective communication are vital soft skills that help you interpret data and collaborate with team members. These competencies ensure accurate data processing, meaningful statistical insights, and efficient teamwork on research or business projects.

What is the difference between Internship R Statistical Programmer vs R Statistical Programmer?

AspectInternship R Statistical ProgrammerR Statistical Programmer
Required CredentialsTypically pursuing or recently completed a degree in statistics, biostatistics, or related fieldBachelor's or master's degree in statistics, biostatistics, or related field; professional experience preferred
Work EnvironmentInternship setting, often part-time or temporary, supervised by senior staffFull-time, permanent role within pharmaceutical, biotech, or healthcare industries
Employer & Industry UsageUsed in academic, research, or entry-level industry settingsCommon in clinical research, pharmaceutical companies, and CROs

The main difference between an Internship R Statistical Programmer and an R Statistical Programmer is experience level and employment status. Internships are typically temporary positions for students or recent graduates gaining practical experience, while R Statistical Programmers are full-time professionals responsible for developing and maintaining statistical programming in clinical trials or research projects.

Which internship is best for statistics students?

The best internship for statistics students, including those interested in statistical programming roles like an Internship R Statistical Programmer, typically involves positions in data analysis, research, or data science that offer hands-on experience with statistical software such as R or SAS. These internships often provide exposure to real-world data projects, improve programming skills, and may require familiarity with statistical methods and data visualization tools. Selecting internships at research institutions, healthcare companies, or tech firms can enhance practical knowledge and improve job prospects in the field.

What are the most commonly searched types of R Statistical Programmer jobs in Cary, NC?

The most popular types of R Statistical Programmer jobs in Cary, NC are:

What are popular job titles related to Internship R Statistical Programmer jobs in Cary, NC?

For Internship R Statistical Programmer jobs in Cary, NC, the most frequently searched job titles are:

What job categories do people searching Internship R Statistical Programmer jobs in Cary, NC look for?

The top searched job categories for Internship R Statistical Programmer jobs in Cary, NC are:

Infographic showing various Internship R Statistical Programmer job openings in Cary, NC as of September 2026, with employment types broken down into 10% Internship, 75% Full Time, 10% Part Time, and 5% Contract. Highlights an 90% In-person, and 10% Hybrid job distribution, with an average salary of $136,453 per year, or $65.6 per hour.

Senior Research Statistician

Raleigh, NC

RTI International
Scientific Research and Development Services • 1 - 5K employees

$84K - $104K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 17 days ago


RTI International rating

7.0

Company rating: 7.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description


About the Hiring Group

RTI Health Solutions (RTI-HS), a wholly owned subsidiary of RTI International, is an independent and internationally recognized research organization. We provide healthcare consulting and research expertise to optimize decision-making for pharmaceutical, biotechnology, and medical device products across the development and marketing life cycle. Clients rely on our expertise, quality standards, and integrity to guide their product development and regulatory and market access strategies. Our service groupings include Value, Access, and HEOR; Patient-Centered and Outcomes Research; Epidemiology and Biostatistics; Medical Communications; Global Business Operations; and Strategic Consulting and Growth. RTI-HS has office locations in the US, UK, Spain, France, and Sweden.

RTI Health Solutions partners with pharmaceutical, biotechnology, and other healthcare industry clients to generate evidence that informs healthcare decision-making around the world. As a Senior Research Statistician, you will work in a collaborative, multidisciplinary environment alongside health economists, statisticians, epidemiologists, and systematic literature review specialists to conduct innovative analyses that evaluate the clinical, humanistic, and economic value of healthcare interventions.

What You'll Do
We are currently seeking a talented Senior Research Statistician to join our growing Evidence Synthesis and Statistics team. Key responsibilities include:
 

Scientific Research and Statistical Analysis

  • Independently develop statistical analysis plans, create analysis datasets, perform complex statistical analyses, interpret findings, and prepare technical reports across a broad range of health economics and outcomes research (HEOR) projects.
  • Lead and conduct statistical analyses for the purposes of health technology assessment, including, but not limited to:
    • Indirect treatment comparisons including network meta-analyses (NMA), matching-adjusted indirect comparisons (MAICs), simulated treatment comparisons (STCs), etc.
    • Survival analyses
    • Utility analyses
    • Real-world evidence (RWE) analyses for use in health economic and early disease modeling
    • Bayesian and other advanced statistical methodologies
  • Develop, validate, document, and maintain statistical programming code and analytical tools using R, STATA, and/or other statistical packages.
  • Provide statistical expertise and methodological guidance to multidisciplinary project teams, recommending appropriate analytical approaches to address client questions.
  • Stay current with emerging statistical methodologies and contribute to the development and application of innovative analytical techniques across client projects.

Project Delivery

  • Independently manage statistical workstreams across multiple client engagements, ensuring delivery of high-quality analyses on time, within budget, and to scientific standards.
  • Serve as the statistical lead on assigned projects, coordinating analytical activities and collaborating with health economists, systematic literature review specialists, and project managers.
  • Identify project risks, recommend mitigation strategies, and communicate progress and technical issues proactively to project leadership and clients.
  • Mentor junior statisticians by providing technical guidance, code review, and support for professional development.

Scientific Communication & Business Development

  • Prepare high-quality statistical reports, study documentation, manuscripts, abstracts, posters, conference presentations, and client-facing deliverables.
  • Present statistical methods and findings to internal teams, clients, and external scientific audiences.
  • Contribute to business development activities by supporting proposal development, preparing statistical sections of proposals, developing analytical approaches, estimating level of effort, and participating in client discussions where appropriate.
  • Proactively build client relationships as well as a portfolio of active client-based work.
  • Scope and develop proposals based on evaluation of client requirements.
  • Partner with senior scientific staff to develop innovative statistical methodologies and technical solutions that differentiate RTI Health Solutions in competitive proposals.
  • Support capability presentations and thought leadership initiatives that strengthen RTI's scientific reputation.

Team Leadership & Professional Development

  • Foster a collaborative and innovative team environment that encourages continuous learning and methodological advancement.
  • Mentor junior team members on statistical methodology, programming practices, and scientific communication.
  • Contribute to internal initiatives focused on process improvement, reusable analytical tools, and methodological innovation.
  • Maintain expertise in advanced statistical programming using R, WinBUGS/OpenBUGS/JAGS, SAS, STATA, and emerging analytical technologies.

What You'll Need
  • Bachelor's degree with 5+ years, Master's degree with 3+ years, or PhD with relevant experience in Statistics, Biostatistics, Mathematics, Data Science, or a related quantitative discipline.
  • Demonstrated experience independently designing and executing statistical analyses in healthcare research, clinical research, HEOR, epidemiology, or related consulting environments.
  • Advanced programming proficiency in R is required; experience with STATA, SAS, or Bayesian software is preferred.
  • Experience contributing to client-facing scientific deliverables and multidisciplinary project teams.
  • Demonstrated ability to interpret scientific literature and communicate complex statistical concepts to both technical and non-technical audiences.

EEO & Pay Equity Statements

For San Francisco, CA USA Job Postings Only: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Further information is available here.

RTI accepts applications to our job openings from candidates with criminal histories or conviction records in accordance with all applicable laws, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

For Applicants in Massachusetts Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

The anticipated pay range for this role is listed below. Our pay ranges represent national averages and may vary by location as a geographic differential may be applied to some locations within the United States. RTI considers multiple factors when making an offer including, for example: established salary range, internal budget, business needs, and education and years of work experience possessed by the applicant. Further, salary is merely one element to our offer.


At RTI, we demonstrate our commitment to rewarding individual and team achievement through a total rewards package. This package includes (among other things) a competitive base salary, a generous paid time off policy, merit based annual increases, bonus opportunities and a robust recognition program. Other benefits include a competitive range of insurance plans (including health, dental, life, and short-term and long-term disability), access to a retirement savings program such as a 401(k) plan, paid parental leave for all parents, financial assistance with adoption expenses or infertility treatments, financial reimbursement for education and developmental opportunities, an employee assistance program, and numerous other offerings to support a healthy work-life balance.

Qualifications:
  • Bachelor's degree with 5+ years, Master's degree with 3+ years, or PhD with relevant experience in Statistics, Biostatistics, Mathematics, Data Science, or a related quantitative discipline.
  • Demonstrated experience independently designing and executing statistical analyses in healthcare research, clinical research, HEOR, epidemiology, or related consulting environments.
  • Advanced programming proficiency in R is required; experience with STATA, SAS, or Bayesian software is preferred.
  • Experience contributing to client-facing scientific deliverables and multidisciplinary project teams.
  • Demonstrated ability to interpret scientific literature and communicate complex statistical concepts to both technical and non-technical audiences.
Education:UNAVAILABLEEmployment Type: FULL_TIME

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